c6def7dfd9ce9c2f02a5ad1ded8c9feec449b001,imagenet/data.py,,make_datasets,#Any#,62

Before Change


        transforms.RandomSizedCrop(224),
        transforms.RandomHorizontalFlip(),
        transforms.ToTensor(),
        transforms.Normalize(),
    ])

    trainset = ImageNetDataset(traindir, train_samples, transform)

After Change


        transforms.RandomSizedCrop(224),
        transforms.RandomHorizontalFlip(),
        transforms.ToTensor(),
        transforms.Normalize(mean = [ 0.485, 0.456, 0.406 ],
                             std = [ 0.229, 0.224, 0.225 ]),
    ])

    trainset = ImageNetDataset(traindir, train_samples, transform)
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 4

Instances


Project Name: OpenNMT/OpenNMT-py
Commit Name: c6def7dfd9ce9c2f02a5ad1ded8c9feec449b001
Time: 2016-10-03
Author: soumith@fb.com
File Name: imagenet/data.py
Class Name:
Method Name: make_datasets


Project Name: moskomule/senet.pytorch
Commit Name: 559c4b8221ed87b4c6e713a9c64a97bde608539a
Time: 2017-10-29
Author: hataya@keio.jp
File Name: exec.py
Class Name:
Method Name: main